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test_display_pr2_try1.py File Reference

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Namespaces

namespace  test_display_pr2_try1

Functions

def test_display_pr2_try1.create_default_scan_dataset
def test_display_pr2_try1.define_ROI_polygons

Variables

tuple test_display_pr2_try1.ac = acquire_pr2_data.AcquireCloud()
list test_display_pr2_try1.camPts_bound = camPts[:,idx_list]
tuple test_display_pr2_try1.cfg = configuration.configuration(DATA_LOCATION, ROBOT)
 CHANGE THIS TO THE DIRECTORY WITH RESULTS FROM CODY: change 'codyRobot' to 'dummyScanner' or code tries to find camera drivers, etc.
 test_display_pr2_try1.colors = pc.map_polys
tuple test_display_pr2_try1.data = np.asarray(pc.pts3d_bound)
tuple test_display_pr2_try1.data_idx = np.where(np.asarray(pc.map_polys) == processor.LABEL_SURFACE)
string test_display_pr2_try1.DATA_LOCATION = '/home/jokerman/svn/robot1_data/usr/martin/laser_camera_segmentation/labeling/'
string test_display_pr2_try1.DATASET_ID = '2009Nov12_184413'
 test_display_pr2_try1.displayOn = True
tuple test_display_pr2_try1.feature_data = pc.generate_features(NUMBER_OF_POINTS,False, True)
tuple test_display_pr2_try1.filename = pr2_example.grab_pr2_example_image_name()
int test_display_pr2_try1.height_max = 9
float test_display_pr2_try1.height_min = 0.0
tuple test_display_pr2_try1.image_size = cv.cvGetSize(pc.img)
list test_display_pr2_try1.intensities_bound = pc.intensities[idx_list]
 test_display_pr2_try1.IS_LABELED = True
tuple test_display_pr2_try1.N = len(idx_list)
tuple test_display_pr2_try1.Nbound = len( idx_list[idx_list] )
int test_display_pr2_try1.NUMBER_OF_POINTS = 7000
float test_display_pr2_try1.object_height = 0.1
 Placement routine.
tuple test_display_pr2_try1.overlay_img = pc.draw_mapped_laser_into_image(pc.map, pc.pts3d, pc.img)
tuple test_display_pr2_try1.pc = processor.processor(cfg)
tuple test_display_pr2_try1.pl = Placement(pc, resolution)
 object_height = 0.1
tuple test_display_pr2_try1.placement_point = pl.test_placement(polygon, object_height)
 REPLACE WITH MY OWN CLASS DEFINITION WITH FUNCTIONs.
tuple test_display_pr2_try1.placement_point_global = mcf.thok0Tglobal(placement_point)
tuple test_display_pr2_try1.polygon = label_object()
tuple test_display_pr2_try1.polygon_mapping = list(1 for x in range(m))
 pc.display_3d('labels')### This is based on accurate polygons.
list test_display_pr2_try1.pts3d_bound = pc.pts3d[:,idx_list]
tuple test_display_pr2_try1.pub = rospy.Publisher('temp_pub', PointCloud)
list test_display_pr2_try1.resolution = [.01*SCALE, .01*SCALE]
string test_display_pr2_try1.ROBOT = 'PR2'
 test_display_pr2_try1.SAVE_UNUSED_NEIGHBORS_TO = False
 pc.display_all_data()###
int test_display_pr2_try1.SCALE = 1
tuple test_display_pr2_try1.scan_indices_bound = np.array(range(N))
 test_display_pr2_try1.SHOW_IN_ROS = True
 previously 1000, False,True
tuple test_display_pr2_try1.table_height = np.mean(data, axis=1)
int test_display_pr2_try1.width_max = 9
float test_display_pr2_try1.width_min = 0.0
 MAKE SURE THAT THESE MATCH ORIGINAL TAKE: CROP CAMERA IMAGE TO RIO.
float test_display_pr2_try1.z_above_floor = 1.32


clutter_segmentation
Author(s): Jason Okerman, Martin Schuster, Advisors: Prof. Charlie Kemp and Jim Regh, Lab: Healthcare Robotics Lab at Georgia Tech
autogenerated on Wed Nov 27 2013 12:07:15